个人简介：康莉，副教授，硕士生导师。2008年毕业于西安电子科技大学，获信息与通信工程专业博士学位，2009-2013年在深圳大学做博士后研究，2013年起在深圳大学工作至今，深圳市高层次人才。主持国家、省、市级项目四项，主要完成人参与国家项目三项，发表论文50余篇，获国家发明专利、国防发明专利以及美国发明专利7项。

主要从事信号与信息处理等领域的教学和科研工作，近年来重点关注智能信息处理技术、DSP技术等在低空、超低空防空预警和通用航空飞行器监视等领域的应用研究，医学影像的智能分析处理等，完成了国家科技支撑计划项目“通用航空综合运行支持系统”和深圳市科技计划项目"基于贝叶斯压缩感知的无线传感器网络数据压缩方法"、广东省自然科学基金"城市低空目标多源协同探测关键技术研究"等课题，突破了低空目标的多传感器组网信息融合、目标检测、目标识别和目标跟踪和精确定位等多项关键技术和装备。

研究兴趣：目标检测与跟踪、医学影像智能分析

教授课程：微型计算机技术、数字信号处理

研究生招生方向：智能信息处理，医学影像智能处理

主持项目：

(1)基于深度学习的儿童及青少年原发性癫痫脑MRI研究，81960312，国家自然科学基金，2020.1-2023.12。

(2)城市低空目标多源协同探测关键技术研究。2018A030310511，广东省自然科学基金，2018.1.1-2020.12.31..

(3)基于贝叶斯压缩感知的无线传感器网络数据压缩方法，JCYJ201503241471711674，深圳市科技创新计划，2015.8-2017.8.

参与项目：

(1)通用航空综合运行支持系统，2011BAH24B12，国家科技支撑计划，2010.12-2014.12

近年来发表的主要论文：

[1] Jingwan Jiang, Li Kang*, Jianjun Huang, Tijiang Zhang. Deep learning based mild cognitive impairment diagnosis using structure MR images. Neuroscience Letters,730(2020): 1-7.

[2] Li Kang, Jingwan Jiang, Jianjun Huang, Tijiang Zhang. Identifying Early Mild Cognitive Impairment by Multi-modality MRI-based Deep Learning. Frontiers in Aging Neuroscience, 2020, 12:206.

[3] Jianjun Huang, Jiahui Xu, Li Kang*, Tijiang Zhang. Identifying Epilepsy Based on Deep Learning Using DKI Images. Frontiers in Human Neuroscience, 2020, 14(11): 465-473.

[4] Li Kang, Jingwan Jiang, Jianjun Huang, Dequ Huang. Retinal Image Synthesis with a Double Stage GAN. Journal of Medical Imaging and Health Informatics.2021, 11(9):2383-2391.

[5] 周子棋, 康莉*, 黄建军. 多站点新冠肺炎肺部CT图像的三维深度卷积分割. 信号处理, 2021, Vol. 37 (11): 2178-2184.

[6] Li Kang, Ziqi Zhou, Jianjun Huang, Wenzhong Han. Renal tumor segmentation in abdomen CT images using 3D-CNN and ConvLSTM. Biomedical signal processing and control, 2022, 72,103334:1-16.

[7] Li Kang, Jin Chen, Jianjun Huang, Tijiang Zhang, Jiahui Xu. Identifying Epilepsy based on Machine Learning Technique with Diffusion Kurtosis Tensor. CNS Neuroscience & Therapeutics, 2022, 28(3): 354-363.

[8] Li Kang, Guojuan Liu, Jianjun Huang, Jianping Li. Super-Resolution Method for MRI Images Based on Multi-resolution CNN. Biomedical signal processing and control, 2022, 72,103372:1-7.

[9] Hao Liang, Li Kang*, Jianjun Huang. A Robust Low-Rank Matrix Completion Based on Truncated Nuclear Norm and Lp-norm. Journal of Supercomputing, 2022, 78:12950-12972.

[10] Holger R. Roth, …, Li Kang, et al.  Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Analysis, 2022, 82:1-12.

[11] Li Kang, Jin Chen, Jianjun Huang, Jingwan Jiang. Autism Spectrum Disorder Recognition based on Multi-view Ensemble Learning with Multi-site fMRI. Cognitive Neurodynamics, 2023, 17(2): 345-355.

[12] Jianjun Huang, Zihao Rui, Li Kang*. FedISP: An Incremental Subgradient-Proximal-Based Ring-Type Architecture for Decentralized Federated Learning. Complex & Intelligent Systems, 2024, 10:2499-2514.

[13] Li Kang, Zhiwei Lu, Lingyu Meng, Zhijian Gao. YOLO-FA: Type-1 Fuzzy Attention based YOLO Detector for Vehicle Detection. Expert Systems with Applications, 2024, (237):121209.

[14] Jianjun Huang, Haoqiang Hu, Li Kang*. Time Convolutional Network-Based Maneuvering Target Tracking with Azimuth-Doppler Measurement. Sensors, 2024, 24, 263.

[15] Li Kang, Bin Tang, Jianjun Huang, Jianping Li. 3D-MRI super-resolution reconstruction using multi-modality based on multi-resolution CNN. Computer Methods and Programs in Biomedicine, 2024, 248(108110): 1-9.

[16] Li Kang, Bin Luo, Jianjun Huang. Improving the learning performance of client’s local distribution in cyclic federated learning. Image Analysis & Stereology, 2024, 43: 1-8.

[17] Jingyin Lin, Wende Xie, Li Kang*, Huisi Wu. Dynamic-guided Spatiotemporal Attention for Echocardiography Video Segmentation. IEEE Transactions on Medical Imaging, 2024，43(11): 3843-3855.

[18] Li Kang, Jianbin Ding, Jianjun Huang, Hao Huang, Mixed Quantization of One-bit and Full-precision Signals for Direction of Arrival Estimation. ICSP2024.

[19] Jianjun Huang, Xuehao Geng, Li Kang*, Ge Luo. Deep Fuzzy System for Dual-Station Target Tracking with Azimuth and Doppler Measurements. IEEE Transactions on Fuzzy systems, 2025.

[20] Li Kang, Mubin Chen, Jianjun Huang, Jinyang Xu. Identifying autism spectrum disorder based on machine learning for multi-site fMRI. Journal of Neuroscience methods, 416(2025), 110379.

[21] Li Kang, Chuanghong Zhao, Jianjun Huang. Object Re-Identification Based on Federated Incremental Subgradient Proximal. IEEE Open Journal of Computer Society, vol. 6, pp. 60-71, 2025, doi: 10.1109/OJCS.2024.3489875.

[22] Li Kang, Xinxin Song, Jianjun Huang. MRI Super-Resolution Reconstruction Based on 3D Dense Connected Convolutional Autoencoders. Biomedical signal Processing and Control, 2025.

更新于2025/2/26